Theoretical estimation of thermal effects in drilling of woven carbon fiber composite Articles uri icon

publication date

  • enero 2014

start page

  • 4442

end page

  • 4454

issue

  • 6

volume

  • 7

international standard serial number (ISSN)

  • 1996-1944

abstract

  • Carbon Fiber Reinforced Polymer (CFRPs) composites are extensively used in structural applications due to their attractive properties. Although the components are usually made near net shape, machining processes are needed to achieve dimensional tolerance and assembly requirements. Drilling is a common operation required for further mechanical joining of the components. CFRPs are vulnerable to processing induced damage; mainly delamination, fiber pull-out, and thermal degradation, drilling induced defects being one of the main causes of component rejection during manufacturing processes. Despite the importance of analyzing thermal phenomena involved in the machining of composites, only few authors have focused their attention on this problem, most of them using an experimental approach. The temperature at the workpiece could affect surface quality of the component and its measurement during processing is difficult. The estimation of the amount of heat generated during drilling is important; however, numerical modeling of drilling processes involves a high computational cost. This paper presents a combined approach to thermal analysis of composite drilling, using both an analytical estimation of heat generated during drilling and numerical modeling for heat propagation. Promising results for indirect detection of risk of thermal damage, through the measurement of thrust force and cutting torque, are obtained. © 2014 by the authors.

keywords

  • carbon fiber reinforced polymer (cfrps); drilling; modeling; thermal effects; carbon fiber reinforced plastics; drilling; models; numerical models; risk assessment; thermal effects; thermoanalysis; analytical estimations; carbon fiber composite; carbon fiber reinforced polymer; dimensional tolerance; experimental approaches; manufacturing process; structural applications; theoretical estimation; damage detection